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Senior Data Scientist
business problems Collaborate with cross-functional teams to translate business requirements into scalable data science solutions Required Qualifications: 6+ years of professional experience in Data Science or Machine Learning Strong proficiency in Python..., SQL, and data manipulation libraries (Pandas, NumPy) Hands-on experience building Streamlit applications Solid background in machine learning algorithms, statistical modeling, and optimization Experience with cloud platforms (AWS, GCP, or Azure)
Research Economist in Health Policy
Completed coursework and experience in quantitative Company Experience with U.S. health policy, particularly Medicare Part D Experience in real-world evidence analysis and pharmacoeconomic analysis Proficiency in data analysis software such Company R, Python..., SQL, SAS, SPSS, or Stata
Annotation Manager
Product Owner, Business Analyst, or in a similar role within financial services Familiarity with Large Language Models, Named Entity Recognition (NER), and AI/ML data pipelines Experience with data annotation tools in financial contexts Proficiency in SQL...and Python for data analysis and transformation
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